Google Professional Cloud Developer Exam Questions - Real Practice Questions for Guaranteed Success

Question 1

You are working on a new application that is deployed on Cloud Run and uses Cloud Functions Each time new features are added, new Cloud Functions and Cloud Run services are deployed You use ENV variables to keep track of the services and enable interservice communication but the maintenance of the ENV variables has become difficult. You want to implement dynamic discovery in a scalable way. What should you do?

ACreate a Service Directory Namespace Use API calls to register the services during deployment, and query during runtime.

BConfigure your microservices to use the Cloud Run Admin and Cloud Functions APIs to query for deployed Cloud Run services and Cloud Functions in the Google Cloud project.

CDeploy Hashicorp Consul on a single Compute Engine Instance Register the services with Consul during deployment and query during runtime

DRename the Cloud Functions and Cloud Run services endpoints using a well-documented naming
convention

Correct : B

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ACreate a Service Directory Namespace Use API calls to register the services during deployment, and query during runtime.

BConfigure your microservices to use the Cloud Run Admin and Cloud Functions APIs to query for deployed Cloud Run services and Cloud Functions in the Google Cloud project.

CDeploy Hashicorp Consul on a single Compute Engine Instance Register the services with Consul during deployment and query during runtime

DRename the Cloud Functions and Cloud Run services endpoints using a well-documented naming
convention

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Question 2

You manage a microservice-based ecommerce platform on Google Cloud that sends confirmation emails to a third-party email service provider using a Cloud Function. Your company just launched a marketing campaign, and some customers are reporting that they have not received order confirmation emails. You discover that the services triggering the Cloud Function are receiving HTTP 500 errors. You need to change the way emails are handled to minimize email loss. What should you do?

AIncrease the Cloud Function's timeout to nine minutes.

BConfigure the sender application to publish the outgoing emails in a message to a Pub/Sub topic. Update the Cloud Function configuration to consume the Pub/Sub queue.

CConfigure the sender application to write emails to Memorystore and then trigger the Cloud Function. When the function is triggered, it reads the email details from Memorystore and sends them to the email service.

DConfigure the sender application to retry the execution of the Cloud Function every one second if a request fails.

Correct : B

This is a robust and scalable approach. By decoupling the email sending process using Pub/Sub, you introduce a queueing mechanism. This ensures that even if the Cloud Function encounters an issue, the email messages are not lost but remain in the queue. Additionally, Pub/Sub can handle high throughput and provides retry mechanisms.

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AIncrease the Cloud Function's timeout to nine minutes.

BConfigure the sender application to publish the outgoing emails in a message to a Pub/Sub topic. Update the Cloud Function configuration to consume the Pub/Sub queue.

DConfigure the sender application to retry the execution of the Cloud Function every one second if a request fails.

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Question 3

You work on an application that relies on Cloud Spanner as its main datastore. New application features have occasionally caused performance regressions. You want to prevent performance issues by running an automated performance test with Cloud Build for each commit made. If multiple commits are made at the same time, the tests might run concurrently. What should you do?

ACreate a new project with a random name for every build. Load the required data. Delete the project after the test is run.

BCreate a new Cloud Spanner instance for every build. Load the required data. Delete the Cloud Spanner instance after the test is run.

CCreate a project with a Cloud Spanner instance and the required data. Adjust the Cloud Build build file to automatically restore the data to its previous state after the test is run.

DStart the Cloud Spanner emulator locally. Load the required data. Shut down the emulator after the test is run.

Correct : B

Since the testing needs to accommodate scenarios where multiple commits are made simultaneously, and hence multiple tests might run concurrently, the testing environment should support isolated and independent testing instances to avoid interference among tests. Given these requirements, using the Cloud Spanner emulator would not be the best choice for this scenario. The emulator is primarily suited for local development, unit, and integration testing, and is not built for production-scale performance testing. It may not accurately replicate performance characteristics at scale or under load, which are crucial aspects in this case.

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ACreate a new project with a random name for every build. Load the required data. Delete the project after the test is run.

BCreate a new Cloud Spanner instance for every build. Load the required data. Delete the Cloud Spanner instance after the test is run.

CCreate a project with a Cloud Spanner instance and the required data. Adjust the Cloud Build build file to automatically restore the data to its previous state after the test is run.

DStart the Cloud Spanner emulator locally. Load the required data. Shut down the emulator after the test is run.

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Question 4

You are monitoring a web application that is written in Go and deployed in Google Kubemetes Engine. You notice an increase in CPU and memory utilization. You need to determine which function is consuming the most CPU and memory resources. What should you do?

AImport the Cloud Profiler package into your application, and initialize the Profiler agent. Review the generated flame graph in the Google Cloud console to identify time-intensive functions.

BCreate a Cloud Logging query that gathers the web application's logs. Write a Python script that calculates the difference between the
timestamps from the beginning and the end of the application's longest functions to identity time-intensive functions.

CImport OpenTelemetry and Trace export packages into your application, and create the trace provider. Review the latency data for your
application on the Trace overview page, and identify which functions cause the most latercy.

DAdd print commands to the application source code to log when each function is called, and redeploy the application.

Correct : A

Google Cloud Profiler efficiently analyzes cloud-based applications, like those on GKE, using minimal code changes and flame graphs for in-depth insights into CPU and memory usage, thus identifying performance bottlenecks with ease. For more information, visit: https://dev.to/billcchung/profiling-go-grpc-service-with-google-cloud-profiler-1k8l and https://www.cncf.io/blog/2020/03/27/continuous-profiling-go-application-running-in-kubernetes/

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AImport the Cloud Profiler package into your application, and initialize the Profiler agent. Review the generated flame graph in the Google Cloud console to identify time-intensive functions.

DAdd print commands to the application source code to log when each function is called, and redeploy the application.

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Question 5

A governmental regulation was recently passed that affects your application. For compliance purposes, you are now required to send a duplicate of specific application logs from your application's project to a project that is restricted to the security team. What should you do?

AModify the _Default tog bucket sink rules to reroute the logs into the security team's log bucket.

BCreate user-defined log buckets in the security team's project. Configure a Cloud Logging sink to route your application s logs to log buckets in the security team's project.

CCreate a job that copies the System Event logs from the _Required log bucket into the security team's log bucket in their project.

DCreate a job that copies the togs from the _Required log bucket into the security team's log bucket in their project.

Correct : B

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AModify the _Default tog bucket sink rules to reroute the logs into the security team's log bucket.

BCreate user-defined log buckets in the security team's project. Configure a Cloud Logging sink to route your application s logs to log buckets in the security team's project.

CCreate a job that copies the System Event logs from the _Required log bucket into the security team's log bucket in their project.

DCreate a job that copies the togs from the _Required log bucket into the security team's log bucket in their project.

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Master Google Professional Cloud Developer Exam with Reliable Practice Questions

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